LA1512/led-1000-epoch-1

results

This model is a fine-tuned version of pszemraj/led-base-book-summary on the pubmed-summarization dataset. It achieves the following results on the evaluation set:

• Loss: 3.2031
• Rouge1: 42.9685
• Rouge2: 16.6913
• Rougel: 24.0898
• Rougelsum: 38.3268
• Gen Len: 272.131

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 8e-05
• train_batch_size: 2
• eval_batch_size: 2
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 1000
• num_epochs: 1
• label_smoothing_factor: 0.1

Training results

Framework versions

• Transformers 4.39.3
• Pytorch 2.1.2
• Datasets 2.18.0
• Tokenizers 0.15.2